Abstract: An apparatus is provided with operating logic for performing a number of data compression operations, and control logic for dynamically selecting one or more of the data compression operations, and have the selected data compression operation(s) performed on a set of data, in accordance with a set of scaling policies. In one embodiment the scaling policies are based, at least in part, on processor type and thread backlog. The scaling policies are used to determine compression techniques and combinations to use with data being communicated.

Abstract: A server is provided with operating logic that dynamically migrates or shadows data it shares with its client, in accordance with a migration/shadowing policy that is based on one or more migration/shadowing heuristics. The server is also provided with operating logic that creates the shared data in accordance with a creation policy that is based on one or more creation heuristics. Furthermore, the server is provided with operating logic that maintains the migration/shadowing as well as the creation heuristics in accordance with an update policy. In one embodiment where the data are pixel maps, the migration/shadowing and creation heuristics are corresponding local usage counts, one per pixel map, and a global usage count respectively. The usage counts are incremented and decremented depending on the destinations of the pixel maps of interest.

Abstract: An apparatus is provided with operating logic for performing a number of data compression operations, and control logic for dynamically selecting one or more of the data compression operations, and have the selected data compression operation(s) performed on a set of data, in accordance with a set of scaling policies. In one embodiment the scaling policies are based, at least in part, on processor type and thread backlog. The scaling policies are used to determine compression techniques and combinations to use with data being communicated.